#Data Efficiency
Latest news articles tagged with "Data Efficiency". Follow the timeline of events, related topics, and entities.
Articles (7)
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🇺🇸 MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels
[USA]
arXiv:2603.19310v1 Announce Type: cross Abstract: Training large language models (LLMs) for complex reasoning via reinforcement learning requires reward labels that specify whether the generated roll...
Related: #AI Training -
🇺🇸 ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
[USA]
arXiv:2603.09692v1 Announce Type: cross Abstract: Reinforcement Learning from Human Feedback (RLHF) has become the standard for aligning Large Language Models (LLMs), yet its efficacy is bottlenecked...
Related: #AI Training -
🇺🇸 Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
[USA]
arXiv:2603.09356v1 Announce Type: cross Abstract: Dataset condensation (DC) learns a compact synthetic dataset that enables models to match the performance of full-data training, prioritising utility...
Related: #Clinical AI -
🇺🇸 Routing without Forgetting
[USA]
arXiv:2603.09576v1 Announce Type: cross Abstract: Continual learning in transformers is commonly addressed through parameter-efficient adaptation: prompts, adapters, or LoRA modules are specialized p...
Related: #Network Routing -
🇺🇸 NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning
[USA]
arXiv:2602.21172v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models are advancing autonomous driving by replacing modular pipelines with unified end-to-end architectures. However, cur...
Related: #Artificial Intelligence, #Autonomous Driving, #Computer Vision -
🇺🇸 Collaborative and Efficient Fine-tuning: Leveraging Task Similarity
[USA]
arXiv:2602.07218v1 Announce Type: cross Abstract: Adaptability has been regarded as a central feature in the foundation models, enabling them to effectively acclimate to unseen downstream tasks. Para...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 CSRv2: Unlocking Ultra-Sparse Embeddings
[USA]
arXiv:2602.05735v1 Announce Type: cross Abstract: In the era of large foundation models, the quality of embeddings has become a central determinant of downstream task performance and overall system c...
Related: #Machine Learning, #Artificial Intelligence
Key Entities (3)
- Large language model (1 news)
- Data efficiency (1 news)
- Computer vision (1 news)
About the topic: Data Efficiency
The topic "Data Efficiency" aggregates 7+ news articles from various countries.